{"title":"Protein chains in tight-binding framework.","authors":"Hamze Mousavi, Ronak Emami","doi":"10.1007/s00894-025-06450-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>This research assesses the band structure and density of states for three unique conformations of protein chains, examined in both finite and infinite configurations. Under a constant temperature, the band structure and density of states reveal flat energy dispersion curves and discrete energy levels for the finite protein conformations, which are ascribed to the presence of localized states within these structures. Conversely, the infinite protein chain demonstrates a continuous band structure due to its periodic nature, resulting in narrow-gap semiconducting behavior across all conformations. The influence of temperature on the energy spectra of the systems, regardless of the configuration type, leads to alterations in both the peak heights and positions for all three protein conformations.</p><p><strong>Methods: </strong>The exploration of the electronic properties of protein chains is performed using the tight-binding Hamiltonian method in conjunction with Green's function formalism. The primary emphasis is placed on protein chains consisting of thirty-six amino acids, characterized by a straightforward structural arrangement, where amino acids are interconnected through covalent bonds, while the other two conformations exhibit a more complex structural configuration, with amino acids linked by both peptide bonds and non-covalent interactions.</p>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 8","pages":"223"},"PeriodicalIF":2.5000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00894-025-06450-4","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context: This research assesses the band structure and density of states for three unique conformations of protein chains, examined in both finite and infinite configurations. Under a constant temperature, the band structure and density of states reveal flat energy dispersion curves and discrete energy levels for the finite protein conformations, which are ascribed to the presence of localized states within these structures. Conversely, the infinite protein chain demonstrates a continuous band structure due to its periodic nature, resulting in narrow-gap semiconducting behavior across all conformations. The influence of temperature on the energy spectra of the systems, regardless of the configuration type, leads to alterations in both the peak heights and positions for all three protein conformations.
Methods: The exploration of the electronic properties of protein chains is performed using the tight-binding Hamiltonian method in conjunction with Green's function formalism. The primary emphasis is placed on protein chains consisting of thirty-six amino acids, characterized by a straightforward structural arrangement, where amino acids are interconnected through covalent bonds, while the other two conformations exhibit a more complex structural configuration, with amino acids linked by both peptide bonds and non-covalent interactions.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.